Overview
What is Fieldwire: a jobsite management platform built for built world teams. General contractors, specialty contractors, owners, and architects use it daily for field management and project management workflows.
Fieldwire covers task tracking, punch lists, inspections, scheduling, RFIs, submittals, change orders, and document control. Tasks in Fieldwire are the universal data object. Punch items, inspections, QA/QC issues, and general to-dos are all represented as tasks, differentiated by category and custom attributes.
Datagrid's Fieldwire integration ingests data through Fieldwire's REST API. It pulls tasks, projects, checklists, floorplans, forms, and user data into Datagrid. Once that data is in Datagrid, AI agents process it autonomously and cross-reference it with other connected systems to generate unified project intelligence.
The integration provides read access across multiple endpoints and data categories. Datagrid extracts task statuses, checklist completions, project activity logs, floorplan metadata, and form responses. Datagrid's AI agents compare current and past versions to track progress, flag deviations, and generate structured reports without manual intervention.
How to integrate Fieldwire with Datagrid
Datagrid gives project teams read access to Fieldwire project data so AI agents can extract, transform, and analyze it across systems. The setup process includes generating a refresh token, authenticating Datagrid, and selecting the projects to sync.
Generate a refresh token
Open Datagrid and go to Settings > Connectors > Add New
Select Fieldwire from the connector list
Log in to your Fieldwire account at
https://app.fieldwire.com/#!/index/accountand generate an API refresh tokenPaste your Fieldwire API refresh token into Datagrid's connector configuration
Authenticate Datagrid
Fieldwire uses a two-token API key system. You generate a refresh token from your Fieldwire account page, and Datagrid exchanges that refresh token for a short-lived JWT access token through Fieldwire's /api_keys/jwt endpoint. Access tokens expire periodically, so Datagrid handles re-authentication automatically using the stored refresh token.
All API calls include a Fieldwire-Version header pinned to a specific date for compatibility. Fieldwire also uses regionalized base URLs for US and EU environments. The integration resolves the correct endpoint per project.
Prerequisite: Fieldwire API access requires a plan with API access, typically Business, Business Plus, or Custom. Confirm API access is active on your Fieldwire account before setup.
Configure data sync
Select the Fieldwire projects you want to sync
Confirm the connection and begin data extraction
Sync direction: One-way (Fieldwire → Datagrid)
Data objects synced:
Tasks — 8 endpoints, All tasks in project, task by ID, status changes within date ranges, tags, related tasks
Task Attributes — 4 endpoints, Custom field values on tasks
Task Check Items — 3 endpoints, Checklist items within tasks
Task Relations — 2 endpoints, Task dependency relationships
Task Type Attributes — 4 endpoints, Attribute definitions for task types
Tasks Forms — 2 endpoints, Form data associated with tasks
Template Check Item — 5 endpoints, Template checklist item definitions
Template Checklists — 2 endpoints, Checklist template structures
Forms — 3 endpoints, Form definitions and responses
Projects — 5 endpoints, All projects in account, project by ID, project activity timestamps, sync status
Project Notifications — 2 endpoints, Project notification feeds
Floor Plans — 2 endpoints, Floorplan metadata and IDs
Account Project Users — 1 endpoint, All project users for an account
Datagrid supports incremental sync using Fieldwire's last_synced_at parameter. It pulls only records updated since the previous extraction.
This gives project teams a read-only path from Fieldwire into Datagrid for ongoing analysis and reporting.
Why use Fieldwire with Datagrid
Connecting Fieldwire to Datagrid gives operators running mission-critical programs a way to analyze field records across systems. Project data rarely lives in one place, and field teams should not have to rely on manual reporting to assemble a current view of execution.
Automated field data extraction: Datagrid pulls live task, checklist, and project data from Fieldwire automatically. No CSV exports or manual data entry required.
Cross-platform data joins: Combine Fieldwire field data with project records, model data, and coordination files inside one agentic AI workspace.
AI agents that act on field data: Datagrid's AI agents detect task status changes, flag schedule deviations, and generate structured reports autonomously.
Version comparison and progress tracking: Access current and historical snapshots of Fieldwire data. Compare progress across time periods and identify trends in task completion, defect rates, or inspection outcomes.
No-code transformation: Project teams can turn raw Fieldwire API data into dashboards and reports without writing code. Datagrid handles API pagination, authentication, and regional endpoint routing.
Multi-project aggregation: Pull data from multiple Fieldwire projects into a single Datagrid workspace for portfolio-level visibility across active jobsites.
Datagrid gives operations leaders a clearer view of field execution without adding another manual reporting process.
What you can build with Fieldwire and Datagrid
Fieldwire data becomes more useful when Datagrid connects it to the rest of your operating stack. Project teams can use that connected data to monitor execution, standardize reporting, and surface exceptions earlier.
Common workflows include the following:
Cross-platform project intelligence dashboard: Extract tasks, checklists, and project activity from Fieldwire. Join that data with cost records and model data from other connected systems. Build a unified view that correlates field punch list items with model locations and budget impact, with updates as field conditions change.
Automated safety inspection reporting: Field inspection data captured in Fieldwire, including forms, photos, and checklist completions, flows into Datagrid. Datagrid's AI agents structure unstructured inputs into formatted safety reports and flag non-compliant items for review.
Schedule deviation detection across trades: Datagrid's AI agents monitor Fieldwire task status changes against baseline dates. When work slips, the agents identify downstream tasks affected, map the impact across dependent trades, and generate a deviation report.
Portfolio-level defect and completion analytics: Aggregate task data from multiple Fieldwire projects into Datagrid. Normalize it by project phase and trade category, then surface patterns such as which trades generate the most punch list items, which project types show more rework, and which inspection categories fail most often.
These workflows give project teams a way to turn field activity into repeatable reporting and earlier decision-making.
Resources and documentation
Use the following resources for setup details and API behavior:
Fieldwire connector docs - supported endpoints, data categories, and connector capabilities
Fieldwire API reference - full REST API documentation with endpoints
API getting started - base URLs, regionalization, and initial setup
API authentication - two-token system, refresh token generation, and JWT exchange
API translation guide - maps UI labels to API entity names (for example, "Task Category" =
Teams, "Task Assignee" =owner_user_id)Fieldwire integrations - lists Datagrid as a native integration partner
API filtering docs - filter syntax for incremental data extraction
API pagination - required for complete data retrieval on large projects
Frequently asked questions
What Fieldwire subscription is required to use the Datagrid connector?
The Datagrid connector requires a Fieldwire plan with API access, typically Business, Business Plus, or Custom. Confirm your subscription includes API access before configuring the connection. The Fieldwire DocuSign integration help article confirms that integrations require Business-tier subscriptions or above.
What data can Datagrid pull from Fieldwire?
Datagrid accesses tasks, task attributes, task check items, task relations, task type attributes, task forms, template check items, template checklists, forms, projects, project notifications, floor plans, and account project users. All operations are read-only and GET-based.
Why do Fieldwire API field names differ from what I see in the app?
Fieldwire's API uses different names than the UI for several entities. For example, "Task Category" in the app maps to the Teams entity in the API, and "Task Assignee" maps to owner_user_id. The official Fieldwire API translation guide documents these UI-to-API name mappings. Datagrid uses the field names from API responses.
Does the Fieldwire connector support two-way sync?
No. The Datagrid Fieldwire integration currently supports one-way data extraction (Fieldwire → Datagrid). Datagrid uses Fieldwire's last_synced_at parameter for incremental sync and pulls only records updated since the last extraction cycle.
Can I connect Fieldwire data with other built world tools in Datagrid?
Yes. Datagrid joins data across systems. You can correlate Fieldwire task data with BIM model elements, project cost records, or scheduling data from other connected systems.
Get started
Connect Fieldwire to Datagrid and let AI agents handle field data extraction, cross-referencing, and reporting.
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